A detail-preserving scale-driven approach to change detection in multitemporal SAR images

By Francesca Bovolo, Lorenzo Bruzzone. IEEE Transactions on Geoscience and Remote Sensing, 2005

422 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment (2007, background): “…according to a difference operator (this is the typical case of multispectral images) or a ratio/log-ratio operator (as usually done in a SAR image), as well as with more complex strategies based on context-sensitive dissimilarity measures that are computed between statistical distributions [14].”
Multimodal Classification of Remote Sensing Images: A Review and Future Directions (2015, methodology): “Moreover, change-detection methods for current VHR satellite data usually focus separately on either VHR SAR or VHR optical data and aim at detecting changes that affect the radar backscattering coefficient or the reflectance in the visible and near-infrared ranges, but not both [149], [150].”